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 regression analysis was used to estimate the time trend.

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

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

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

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

7 5 indicated strong population-level exposure time trends.

8 esting, adjusting for seasonal baselines and time trends.

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

10 used weighted linear regression to estimate time trends.

11 alyses with different degrees of freedom for time trends.

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

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

14 were susceptible to confounding by nonlinear time trends.

15 ill require adjustment equations to evaluate time trends.

16 rotection bias in the estimates of fertility time trends.

17 eanalyse existing data to elucidate detailed time trends.

18 well as population level body burden versus time trends.

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

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

21 ns within homes were explained by decreasing time trends.

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

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

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

25 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

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

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

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

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

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

31 Time trend analyses were performed using a piecewise lin

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

33 Time-trend analyses showed that results were not influen

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

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

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

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

38 A time trend analysis on national estimates of PA catheter

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

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

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

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

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

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

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

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

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

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

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

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

51 Contrasting time trends and congener patterns between the Alpine and

52 We examined time trends and considered differences by geographic loc

53 To identify time trends and disparities in receipt of buprenorphine

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

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

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

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

58 Time trends and the independent effect on workload of pr

59 Time trends and the independent effect on workload of pr

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

83 1990 to 2010 for 65 countries with reliable time trend data and more than 10,000 livebirths per year

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

117 Time trends in AMI mortality among successive incidence

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

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

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

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

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

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

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

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

126 1980 to to 2013 to fit a dynamical model to time trends in HIV prevalence, antiretroviral therapy (A

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

147 995 saw the publication of a major review of time trends in psychosocial disorders of youth across th

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

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

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

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

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

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

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

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

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

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

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

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

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

161 Time trends in the prevalence of genotypic and phenotypi

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

177 The time trend of PCBs associated with the particulate fract

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

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

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

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

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

183 The time trends of gastric ulcer preceded those of duodenal

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

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

186 Time trends of hexabromocyclododecane (HBCD) isomers wer

187 Time trends of HIV prevalence collected from concentrate

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

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

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

191 Time trends of incidence were assessed using joinpoint r

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

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

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

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

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

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

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

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

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

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

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

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

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

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

206 Time trends related to health behaviors show a substanti

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

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

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

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

211 Analysis of time trends showed a statistically significant increase

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

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

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

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

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

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

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

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

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

221 Time trends toward lower operative mortality and more ex

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

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

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

225 We also depicted the time trends using polynomial smoothing.

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

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

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

229 Time trends were analyzed with multinomial regression mo

230 Linear time trends were compared by negative binomial regressio

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

232 Time trends were estimated using Poisson regression.

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

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

235 Time trends were explored using Poisson regression and r

236 Time trends were identified and multivariable logistic r

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

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

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

240 Time-trends were analyzed with joinpoint analysis.

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

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

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

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

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