ライフサイエンスコーパス: time trend

1 eased from 50% to 60% in the NCD (P<.001 for time trend).

2 onomic position, and third-trimester BP; and time trend.

3 esistance was approximately 80%, with little time trend.

4 esults do not appear to be attributable to a time trend.

5 regression analysis was used to estimate the time trend.

6 s, controlling for temperature and long-term time trends.

7 r procedural mix, patient comorbidities, and time trends.

8 ns within homes were explained by decreasing time trends.

9 just for bias from population-level exposure time trends.

10 ess and adjust for population-level exposure time trends.

11 case mix, hospital effects, and preexisting time trends.

12 5 indicated strong population-level exposure time trends.

13 esting, adjusting for seasonal baselines and time trends.

14 points in age- sex- and deprivation-specific time trends.

15 used weighted linear regression to estimate time trends.

16 alyses with different degrees of freedom for time trends.

17 icient depends on the amount of smoothing of time trends.

18 ghly sensitive to the degree of smoothing of time trends.

19 were susceptible to confounding by nonlinear time trends.

20 ill require adjustment equations to evaluate time trends.

21 rotection bias in the estimates of fertility time trends.

22 eanalyse existing data to elucidate detailed time trends.

23 test, t test, and Cochran-Armitage test for time trends.

24 nd state-level covariates and state-specific time trends.

25 sion was used to examine population-averaged time trends.

26 reporting of noninferiority trials, and the time trends.

27 oint temperature, day of week, holidays, and time trends.

28 well as population level body burden versus time trends.

29 40 (95% CI, 0.64-3.05) during HERS II (P for time trend =.08); it was 2.08 overall for the 6.8 years

30 The ringed seal results extended a previous time trend (1986-2008) to 2010.

31 a generalised linear model to model survival time trends (1999-2007) and to assess the significance o

32 Multivariate analyses examined the time trend, adjusting for patient, visit, and setting ch

33 We compared mortality time trends among persons with HIV with the general popu

34 ontrolled case series (SCCS), and population time trend analyses carried out in Denmark between 2000

35 ies, and no systematic country estimates nor time trend analyses have been done.

36 Time trend analyses were performed using a piecewise lin

37 s); and 1,465,049 girls and boys (population time trend analyses).

38 In time trend analyses, we observed a steady increase in th

39 Prospective time-trend analyses on shifting etiology and trends of d

40 Time-trend analyses showed that results were not influen

41 Risk-adjusted time-trend analyses were performed using logistic regres

42 In time-trend analyses, 75% of CD studies and 60% of UC stu

43 e differences required a data adjustment for time-trend analyses.

44 Calendar time (TIA incidence calculation, time-trends analyses), TIA (matched longitudinal cohort)

45 A time trend analysis also was conducted using the 1998 NA

46 DESIGN, SETTING, AND PATIENTS: Time trend analysis of radioactive iodine use in a cohor

47 A time trend analysis on national estimates of PA catheter

48 y and between-country comparison, as well as time trend analysis, which no other survey-based index p

49 Time trends analysis revealed that the number of resecte

50 A time-trend analysis for IRs demonstrated rising incidenc

51 and from FB+DSs, by sex, were compared in a time-trend analysis of 2-y cycles.

52 We used time-trend analysis of annual invasive pneumococcal dise

53 This was an ecologic study with a time-trend analysis of FDC sales volumes (2007-2012) and

54 A time-trend analysis was conducted on a complete cohort b

55 An epidemiologic time-trend analysis was conducted on April 1, 2015, of l

56 A time-trend analysis was performed over the study period.

57 wo study periods, 1983 to 1985 and 1990, for time-trend analysis.

58 valence of dependence by subgroup, affecting time trend and comorbidity research.

59 After adjusting for the exposure-time trend and concomitant use of other central nervous

60 arding haemodynamic variables, a significant time trend and interaction was reported between time and

61 ompletely eliminated the association between time trend and mortality (hazard ratio 1.00; 95% confide

62 ch outcome as a function of a linear monthly time trend and quarterly indicators.

63 We examined time trends and age distribution for fatal anaphylaxis c

64 Here we report the time trends and air-water exchange of OCPs and CUPs from

65 negative binomial regressions accounting for time trends and clustering at the level of the healthcar

66 Contrasting time trends and congener patterns between the Alpine and

67 We examined time trends and considered differences by geographic loc

68 To identify time trends and disparities in receipt of buprenorphine

69 We aimed to study time trends and levels of mean total cholesterol and lip

70 ained distributed lag models controlling for time trends and meteorology.

71 We utilized logistic regression to identify time trends and patient and tumor factors associated wit

72 ves of this analysis were to investigate (i) time trends and regional patterns of charcoal-burning su

73 pollution while controlling for longer-term time trends and season and for weather.

74 Time trends and the independent effect on workload of pr

75 Time trends and the independent effect on workload of pr

76 insights into US disease-specific mortality time trends and their differences across geographic regi

77 rence design was used to control for secular time trends and to better reflect the specific impact of

78 er a hospital stay, controlling for national time trends and veteran characteristics-a 2-fold differe

79 ing model for boys included age and a linear time trend, and for girls age and nonlinear effects of c

80 , low birthweight as a covariate, non-linear time trends, and bias adjustments based on a data qualit

81 for patient characteristics, medical center, time trends, and facility-level clustering.

82 eforms, adjusting for patient comorbidities, time trends, and hospital site.

83 adjusting for patient comorbidities, common time trends, and hospital site.

84 e of MRSA colonization in dialysis patients, time trends, and long-term risk of subsequent MRSA infec

85 examined population-based data for patterns, time trends, and racial differences of mortality from he

86 matically addressed missing data, non-linear time trends, and representativeness of data sources.

87 p-to-date data on the incidence, prevalence, time trends, and risk and prognostic factors for FA in E

88 Indicators of influenza activity, time trends, and seasonal terms were included in the mod

89 autism spectrum disorders (ASDs), including time trends, and the first study to consider the ASDs re

90 ting for time-invariant confounding, secular time trends, and time-varying environmental and economic

91 le analysis that controlled for meteorology, time trends, and upper respiratory infections, an increa

92 Therefore, it is important to monitor time trends at a population level.

93 After adjusting for time trends before legalization, only commercialization/

94 ion by survey year, as well as country-level time trends between 2002 and 2018, were computed using m

95 This study determined time trends between 2007 and 2011 for statin and nonstat

96 iated admission rates, age, seasonality, and time trends between countries.

97 l communities (P =.008 for the difference in time trends between intervention and control communities

98 When we accounted for the IQ time trend by adjusting for birth year, advanced paterna

99 ffects by county and year, as well as linear time trends by county.

100 Strong population-level exposure time trends can bias case-crossover studies conducted am

101 Corresponding time-trend coefficients were positive (P < .001).

102 WIMS in N2 drift gas, and the observed drift time trends compared.

103 The potential for structural changes in time trend concentrations of mercury (Hg), lead (Pb), ca

104 Analyses that also adjusted for secular time trends confirmed these findings (relative risk redu

105 1990 to 2010 for 65 countries with reliable time trend data and more than 10,000 livebirths per year

106 ores across time at a fixed age (age-matched time trend) decreased.

107 a occurred at high rates without discernible time trends, despite chemoprophylaxis in more than 80% a

108 ntly, two complementary ways for exploratory time trend detection and feature prioritization are prop

109 There was a significant time-trend difference (P = 0.013) between the 2 groups.

110 nd survival in 2000-07 and the corresponding time trends during 1995-2007.

111 We analyzed time trends during the study period and used logistic re

112 ificant added mortality after adjustment for time-trend effects.

113 ed all-cause 180-day postdischarge mortality time trends estimated using flexible parametric survival

114 For some PAHs, a decreasing time trend explained a modest fraction of the within-hou

115 r but also could be efficiently employed for time trend exploration in other scientific fields.

116 x vaccination on herpes zoster incidence and time trend, focusing on population-level effects by anal

117 ped countries to generate an estimate of the time trend for CD4 cell count at the initiation of HIV c

118 er a variety of conditions revealed the same time trend for new steady states to be established as in

119 Time trends for all-cause mortality and definite stent t

120 We assessed time trends for care and outcomes in Sweden and the UK.

121 tion about the distribution of causes of and time trends for child mortality should be periodically u

122 but there were no statistically significant time trends for either group.

123 We estimated national and subnational time trends for key reproductive, maternal, and child he

124 m birth rates for 184 countries in 2010 with time trends for selected countries, and provide a quanti

125 To assess the statistical significance of time trends for these variables, logistic regression ana

126 Overall, mean predicted 25(OH)D showed no time trend from 1988 to 2006, but during 2007-2010 the m

127 We estimated time trends from 1990 to 2010 for 65 countries with reli

128 We estimated time trends from observed time series and used spatial s

129 tion of HIV prevalence and interpretation of time trends from serosurveillance of pregnant women.

130 idence between countries and investigate the time trends, further studies using a standardized defini

131 st to time-invariant confounding or exposure time trends, further supporting the important role for e

132 ecay model is not appropriate, and long-term time trends identified from this 12-year data set cannot

133 showed that results were not influenced by a time trend in antibiotic exposure.

134 We quantified the linear time trend in bleeding using 3 sequential logistic regre

135 Changes in the odds ratio for time trend in bleeding were compared using bootstrapping

136 tus, mononuclear cell subset variations, and time trend in CD4+ counts had no association with transm

137 that most of the empirically fitted downward time trend in P falciparum malaria prevalence over the c

138 The existence of a time trend in suicide risk among never-deployed soldiers

139 Our results demonstrate no time trend in the ASDs recurrence risk as seen in the AS

140 After adjustment, the time trend in the prevalence of cirrhosis (and its compl

141 We examined the time trend in the rate of VF beyond 6 months of ART betw

142 Time trend in the use of moderate-intensity to high-inte

143 stem are affected and that the shapes of the time trends in activities depend on the fatty-acyl CoA c

144 Finally, we assessed time trends in adverse outcomes between 1972 and 2009, f

145 We assessed time trends in age-standardised and relative risks of ni

146 ion to calculate proportionate mortality and time trends in age-standardised mortality.

147 and serum specific IgE [sIgE]) when studying time trends in allergic respiratory disease in adults wi

148 Time trends in AMI mortality among successive incidence

149 ve care unit (ICU), the prognosis of AS, and time trends in AS hospitalization rates in Denmark from

150 e changes in the past decade correlated with time trends in average eGFR at 1 year after kidney trans

151 Reconstructing deep time trends in biodiversity remains a central goal for p

152 Monitoring time trends in child and adolescent mental health is ess

153 , N = 239,944 eligible respondents) to study time trends in drinking outcomes by sex, age, and parent

154 We studied time trends in enrollment, clinical characteristics, tre

155 ested a single statistical shape to describe time trends in Europe, while allowing for country-level

156 Outcomes included time trends in first-time AS hospitalization rates, perc

157 d in survey-weighted regressions to estimate time trends in hemoglobin (Hgb), erythropoietin (EPO) do

158 1980 to to 2013 to fit a dynamical model to time trends in HIV prevalence, antiretroviral therapy (A

159 sed the influence of the obesity epidemic on time trends in human exposure to polychlorinated bipheny

160 the burden of rare cancers in Europe, their time trends in incidence and survival, and provide infor

161 arding incidence rates in the oldest old and time trends in incidence are limited.

162 We determined time trends in incidence of AF-related stroke in compari

163 e analyzed Sardinian registry data to assess time trends in incidence rates (IRs) of type 1 diabetes

164 d, moving average, which was used to display time trends in incidence, suggested a cyclical pattern,

165 For each LP, we calculated time trends in incident AMI and subsequent 28-day and 1-

166 The length of LP may influence the observed time trends in incident AMIs.

167 We assessed time trends in inequalities, and calculated mean results

168 c initial and final means or proportions and time trends in macronutrient intakes were estimated with

169 ide an accurate assessment of the levels and time trends in malaria mortality to aid assessment of pr

170 US Medicaid Analytic eXtract, we contrasted time trends in malformations which do not necessarily pr

171 This study estimates time trends in mortality and functional dependence by is

172 ted for patient characteristics and national time trends in mortality and length of stay.

173 ress toward these Healthy People 2020 goals, time trends in National Health and Nutrition Examination

174 Medicare patients above and beyond existing time trends in non-Medicare patients (n = 95,558 before

175 We used linear regression to examine the time trends in number of deaths and place of death, and

176 and End Results (SEER) database to describe time trends in outcomes of BL in the United States.

177 on both prevalence of HCV seropositivity and time trends in outcomes related to HCV infection.

178 No study has analyzed gender differences and time trends in patients referred for noninvasive testing

179 nvironment interactions, cohort effects, and time trends in patients with allergic diseases.

180 fferent assumptions about how to incorporate time trends in pollutant data, and the most relevant win

181 We sought to determine time trends in prevalence of school children at risk of

182 995 saw the publication of a major review of time trends in psychosocial disorders of youth across th

183 vestigate the geographical dispersion of and time trends in publication for policy-relevant informati

184 e MI from 1950 through 1989, we investigated time trends in risk for coronary heart disease (CHD) dea

185 enior government level, any consideration of time trends in sexual and reproductive health outcomes n

186 int regression analyses were used to examine time trends in suicide, and negative binomial regression

187 f recurrent infections and reoperations, and time trends in surgical treatment.

188 e Program to determine and compare pollutant time trends in the atmosphere and in fish.

189 region of Zurich to interpret the levels and time trends in the cVMS concentrations and to back-calcu

190 We aimed to determine time trends in the epidemiology, economic burden, and mo

191 nvariant characteristics of the patients and time trends in the exposure.

192 Third, the time trends in the four major areas were compared with t

193 We analyze for the first time trends in the incidence and outcome of CS during a

194 Practice-level analyses examined time trends in the percentage of psychiatrists who provi

195 DESIGN, SETTING, AND PATIENTS: Study of time trends in the prevalence by age and birth cohort of

196 We examined time trends in the prevalence of cirrhosis and its relat

197 We sought to determine risk factors for and time trends in the prevalence of cirrhosis, decompensate

198 Time trends in the prevalence of genotypic and phenotypi

199 hildren is decreasing or remaining the same, time trends in the prevalence of rhinitis in children ar

200 ters are particularly useful to characterize time trends in the reproduction number.

201 ess pulmonary embolism-related mortality and time trends in the WHO European Region.

202 Time trends in these predictors and in the Army's increa

203 We studied the time trends in use of adjuvant chemotherapy and survival

204 dical (CAM) therapies, little is known about time trends in use.

205 Despite increases over time, trends in US and United Kingdom funding for norovi

206 We examined time-trends in Chinese ES rates (ESRs) from 1987 to 2014

207 The time-trends in ESRs of both rural and urban men and wome

208 Reliable data on time-trends in stroke incidence, major risk factors, and

209 Time trends included (1) a shift in gastroenterology-rel

210 The four studies that examined time trends indicated an increasing prevalence of chroni

211 We demonstrate that environmental time trend interpretations benefit from undertaking prio

212 including developing benchmarks, longer-term time trend investigation, and comprehensive analysis of

213 lems, if not accounted for, these could bias time trend investigations and interpretations.

214 ed models adjusting for long- and short-term time trends, meteorology, and study visit number.

215 gen sensitisations may explain the different time trends observed in these cohorts.

216 A time trend of CPPopt was calculated using an automated c

217 A time trend of CPPopt was created using a moving 4-hr win

218 The time trend of PCBs associated with the particulate fract

219 Time trend of pediatric CDI was evaluated using a mixed-

220 Time trends of age- and gender-standardised proportion o

221 trol selection, this design may be biased by time trends of exposure prevalence during pregnancy.

222 In the presence of gestational time trends of exposure, the new designs do not offer cl

223 sought to define epidemiologic features and time trends of fatal anaphylaxis in the United States fr

224 The time trends of gastric ulcer preceded those of duodenal

225 Changes in the time trends of HCC and most variations in its age-, sex-

226 To investigate the time trends of hepatitis E in southeastern Germany, we p

227 Time trends of hexabromocyclododecane (HBCD) isomers wer

228 Time trends of HIV prevalence collected from concentrate

229 We conclude that the time trends of HIV-associated respiratory disorders are

230 he purpose of this study was to quantify the time trends of hospitalizations and operations for PUD i

231 dels were used to investigate predictors and time trends of imaging utilization, after adjustment for

232 Time trends of incidence were assessed using joinpoint r

233 s of misdiagnosis in the surgical cohort and time trends of management strategies were the main outco

234 Decadal time trends of mercury (Hg) concentrations in Arctic bio

235 erformed a serial cross-sectional study with time trends of neuroimaging in patients with a primary I

236 nducted a serial, cross-sectional study with time trends of patients undergoing CAS (n=124 265) and C

237 ATIENTS: A serial cross-sectional study with time trends of patients undergoing coronary artery bypas

238 PoD).This study aims to explore the changing time trends of PoD and the associated factors, which are

239 To analyze the time trends of the viral subtype distributions according

240 e aim of the present study was to follow the time trends of ulcer disease in a representative sample

241 However, the time-trend of corresponding percentages of ESs among the

242 e context of rapid ageing, understanding the time-trend of elderly suicide (ES) could inform China's

243 The time-trend of national ESRs was downward (average annual

244 is 2-fold: first, to define the evolution of time trends on the surgical approach to pancreatic neuro

245 Of the 65 countries with estimated time trends, only three (Croatia, Ecuador, and Estonia),

246 Most studies did not control for time trends or level of supervision or use methods appro

247 After adjusting for time trends, patient factors, and transferring hospital

248 d PFNA exposure did not follow a significant time trend, PFOS and PFHxS concentrations decreased over

249 Unadjusted time-trend plots were created for all variables of inter

250 Because of the strong time trends present in infectious disease incidence, how

251 Analyses were adjusted for underlying time trends, quarter of year, sex, age, Index of Multipl

252 nsulin, statin use, season, and longitudinal time trend (R(2) = 0.167, P < 0.0001), plasma TFAs decre

253 Time trends related to health behaviors show a substanti

254 tected features were reduced to 130 relevant time trends related to TrOCs for identification.

255 sms underlying this association and parallel time trends remain largely unknown but genetic factors m

256 All models were adjusted for time trend, season, influenza, and smoking prevalence.

257 The models accounted for long-term time trends, seasonality, and day of week and holiday ef

258 These time trends show a compelling need for more effective li

259 Analysis of time trends showed a statistically significant increase

260 es of causes of child mortality in 2010 with time trends since 2000.

261 ir affected sibling's time of illness onset (time trend: social activity: F = 5.463, P = .02; indepen

262 More research is needed on time trends, spatial patterns, and particular groups, es

263 d Feb 28, 2014) and conference abstracts for time-trend studies that analysed changes, between the pr

264 for meteorology, net move-in mobility (NM), time trend (T), co-morbidity (CM), and the time-lag effe

265 With regard to time trends, the exponential increases in concentrations

266 Analyzing time trend, there appears to be a large stepwise decreas

267 authors accounted for long-term and seasonal time trends, there was a negative association between mo

268 ian hierarchical model with country-specific time trends to estimate these indicators, with 95% uncer

269 counting for patient factors and preexisting time trends toward improved outcomes, there were no stat

270 , changes in procedure type, and preexisting time trends toward improved outcomes, there were no stat

271 Time trends toward lower operative mortality and more ex

272 e-control design, which adjusts for exposure time trends under certain assumptions, yielded an odds r

273 ach census tract in New Jersey, a state-wide time trend using dummy variables for each year from 2004

274 ic and economic factors, and cross-sectional time trends using a fixed effects panel data regression

275 We estimated time trends using multilevel mixed-effects modelling.

276 We also depicted the time trends using polynomial smoothing.

277 We evaluated time trends using the Cochran-Armitage test and correlat

278 A statistically significant linear time trend was noted for door to first pass time (quarte

279 cipants: A serial cross-sectional study with time trends was conducted using administrative claims fr

280 After controlling for preexisting time trends, we observed that between April 2011 and Mar

281 Time trends were analyzed using Joinpoint regression.

282 Time trends were analyzed with a broken stick model and

283 Time trends were analyzed with multinomial regression mo

284 Calendar time trends were analyzed, and stratified analyses by ca

285 Linear time trends were compared by negative binomial regressio

286 lence of inflammatory bowel diseases (IBDs); time trends were determined using joinpoint regression.

287 Time trends were estimated using Poisson regression.

288 subcategories of emergent hernia repairs and time trends were evaluated.

289 nent scores, adjustment for confounders, and time trends were evaluated.

290 Time trends were explored using Poisson regression and r

291 Time trends were identified and multivariable logistic r

292 Third, time trends were investigated graphically using age-spec

293 No clear time trends were observed for the non-BCHyPy PAHs varyin

294 th across surveys, striking discrepancies in time trends were observed.

295 Time-trends were analyzed with joinpoint analysis.

296 te bias related to population-level exposure time trends when using outcome-indexed self-controlled (

297 odel that included a long-term spatial mean, time trends with spatially varying coefficients, and a s

298 ment for bias from population-level exposure time trends with the case-time-control analysis resulted

299 ffect, there was a statistically significant time trend, with more CHD events in the hormone group th

300 The analysis adjusted for secular time trends, within-hospital clustering, and patient-lev