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1 using the World Health Organization standard life table.
2 s were examined using the age-stage, two-sex life table.
3 nd analyzed them using an age-stage, two-sex life table.
4 rformed using the Kaplan-Meier estimator and life table.
5 opulation and death rates from the Minnesota life tables.
6 ditions at the age of 20 was estimated using life tables.
7 relative survival by SES utilizing Hong Kong life tables.
8 nd 10-14 years, inclusive) using appropriate life tables.
9 using both the race-adjusted and -unadjusted life tables.
10 outh Korea and with mathematical analysis of life tables.
11 fe lost was calculated according to Canadian life tables.
12 d Centers for Disease Control and Prevention life tables.
13  on comparisons of survival models with U.S. life tables.
14 ected with hazard-based modifications to the life tables.
15 d on age and sex alone, was calculated using life tables.
16 pulations at risk with census counts and NIH life tables.
17  mortality was estimated from United Kingdom life tables.
18  and 1996 by means of Kaplan-Meier actuarial life-tables.
19 d-generated expected mortality rates from BC life-tables.
20 s lifetime risks (ELR) were calculated using life tables accounting for all-cause mortality.
21                                          The life table-adjusted cumulative risk of loss after gestat
22 sease, stage at diagnosis, and survival), US life tables (all cause mortality), and the medical liter
23  We also did intention-to-treat Kaplan-Meier life table analyses and followed up women who did not us
24                                              Life table analyses showed that intrinsic rate of increa
25                                           In life-table analyses (log-rank test), incidence of the me
26                                              Life-table analyses revealed no fitness loads affecting
27                                              Life-table analyses showed that joint replacement was pe
28                                              Life-table analyses were used to compare 2-year overall
29 st 2 consecutive study visits) determined by life-table analyses, and at least 10 letter (>/=2 line)
30 urvival and success rates were calculated by life-table analyses.
31                                              Life-tables analyses were used to estimate gains in life
32                                 Kaplan-Meier life table analysis showed similar survival rates at 1,
33                    Here, we used age two-sex life table analysis to examine demographic parameters on
34 he 1, 2, and 5-year survival estimates using life table analysis were 72, 48, and 23%.
35                                           By life table analysis, the probability of detecting dyspla
36                                           By life table analysis, we found that losartan and doxycycl
37      Results up to 4 years were evaluated by life table analysis.
38 l outcomes were evaluated using Kaplan-Meier life table analysis.
39 inical recurrence rates (intent to treat) by life-table analysis at 24 months were 50% (95% confidenc
40  and success rate (SR) were calculated using life-table analysis for both M and R short implants.
41                               A Kaplan-Meier life-table analysis revealed that the incidence of zoste
42 ion of OPMD caused marked debility, although life-table analysis showed no decrease in life expectanc
43                                              Life-table analysis showed that in patients who survived
44                                              Life-table analysis showed that the cumulative proportio
45                                          The life-table analysis showed that the group 1 patients had
46                                              Life-table analysis showed the mean times to a diagnosis
47                                              Life-table analysis shows the ipsilateral stroke-free ra
48                                      We used life-table analysis to estimate gains in life expectancy
49 udy enrollment, 1661 patients died (15.9% by life-table analysis).
50                                           On life-table analysis, 90-day recurrence rates with mean S
51 st, Wilcoxon matched-pairs signed-rank test, life-table analysis, Kaplan-Meier method, and log-rank t
52                                  With use of life-table analysis, overall primary and secondary 1-yea
53                                           By life-table analysis, the likelihood of remission during
54                                           By life-table analysis, the rate of stroke was 2.2% (95% co
55                                           By life-table analysis, women were significantly less likel
56              Transitions are estimated using life-table analysis.
57       Durability of PFSS was determined with life-table analysis.
58  were analyzed statistically and by means of life-table analysis.
59   Statistical analysis was conducted using a life-table analysis.
60 r within 30 days), and 5-year survival, from life-table analysis.
61   Well-known methods to do this, such as the life table and age adjustment, exist for binary nonrecur
62 lobal Burden of Disease Study 2021 reference life table and forecasts of cause-specific mortality und
63 e and comprehensive actuarial foundation for life table and mortality analysis, it suggests new possi
64                                              Life table and multivariate analysis also demonstrated t
65 re compared by means of chi-square tests and life table and random effects model analyses.
66 e, 6-12), determined by comorbidity-adjusted life tables and 43% were randomized to VKAs.
67 llivan method, which was applied to Eurostat life tables and age-specific prevalence of activity limi
68                         We aimed to estimate life tables and annual numbers of deaths for 187 countri
69 anges in mortality over time by constructing life tables and conducting survival analysis of age-at-d
70 lity weights were derived from the actuarial life tables and Global Burden of Disease study, respecti
71 er-pregnant female donors was analyzed using life tables and time-varying Cox proportional hazards mo
72 nt-level microsimulation model based on U.S. life-tables and in-trial results was used to estimate li
73 rn between 1878 (earliest year with complete life tables) and 1914 (last birth cohort for which male
74  by the time of expected patient death (1990 life tables) and whose Gleason score was less than 4 in
75 e, diabetes, and cancers were modelled using life tables, and changes in greenhouse gas emissions ass
76 fetime horizon using regression modeling, US life tables, and external data where needed.
77 tified by sex, was calculated using a period life table approach from age- and sex-specific mortality
78 PANTS: This decision analytical model used a life-table approach and was conducted between December 2
79                                      Using a life-table approach, the authors quantified the degree t
80 e 20th century (for which benchmark national life tables are available), mortality is consistently lo
81 pecific disease incidence rates and abridged life tables are examples of binned data.
82                        Sex- and age-specific life tables are needed to compute various cancer surviva
83 oss-sectional study involved a simulation of life tables based on national death and population count
84             We present sex- and age-specific life tables based on socioeconomic status at the census
85       We incorporated these estimates in the life table by the Sullivan method to produce HALE estima
86 es at birth by quintiles of deprivation, and life tables by census tract and province.
87          We merged these data with estimated life tables by race and ethnicity, sex, age, location (c
88             For example, the construction of life tables, calculating the percentage mortality of pre
89                                          For life table calculations, we used prevalence, incidence r
90 et of Alzheimer's disease was derived from a life table constructed by using age-of-onset distributio
91                  In this study, we collected life table data for the sweetpotato weevil, Cylas formic
92 er were calculated using incidence rates and life table data obtained from the Surveillance, Epidemio
93               Analysis excluded 2019 because life table data were not available for many peer countri
94 e, Epidemiology, and End Results program and life table data.
95  the US cancer population using registry and life-table data.
96  calculated from Berkeley Mortality Database life tables derived from population matched by gender an
97 ach we describe augments existing methods of life table design and analysis, and contributes to the d
98                                            A life table estimate of transmission at 6 to 8 weeks was
99 gery demonstrated less strabismus (29 of 50; life-table estimate, 58.0%) than the older cohort (>/= 4
100 ths of follow-up in 38 pseudophakic infants (life-table estimate, 66.7%) and 42 infants (life-table e
101 (life-table estimate, 66.7%) and 42 infants (life-table estimate, 74.5%) treated with contact lenses
102 han the older cohort (>/= 49 days; 51 of 64; life-table estimate, 80.0%; P<0.01).
103                                 Kaplan-Meier life-table estimates for continuous complete remission (
104                                 Kaplan-Meier life-table estimates indicated that 25% of RA patients w
105                                              Life-table estimates of event-free survival and survival
106 mity of genomic alterations, correlates with life-table estimates of the probability of overall survi
107  of pregnancies/100 person-years of use) and life-table estimates of the probability of pregnancy wer
108                                              Life-table estimates were used to determine disease-free
109                                 According to life-table estimates, the rate of successful discontinua
110  second relapse (FF2R) were determined using life-table estimates.
111 ), and survival (S) were determined by using life-table estimates.
112 l (DDFS), and survival were determined using life-table estimates.
113                 At 1 year using Kaplan-Meier life-table estimation, the transcarotid approach was ass
114  in time-dependent models using Kaplan-Meier life-table estimation.
115                                  Selfing and life-table experiments were performed for two such Daphn
116 nomas was compared among the groups with the life-table extension of the Mantel-Haenszel test.
117 ze goals of care for geriatric patients, but life tables fail to account for the great variability in
118  The results provide the first estimate of a life table for a population of ant colonies and the firs
119 tudy, we constructed the first comprehensive life table for CMBS to characterize its biological param
120 evalence of the health measure to a standard life table for the same period.
121 2)=0.78) of Ne/N in an empirical data set of life tables for 63 animal and plant species with diverse
122             Finally, we constructed abridged life tables for each America, year, and sex, and extract
123        County-level death rates and national life tables for each year were obtained from the U.S. Ce
124 lculated using 2019 single year sex-specific life tables for England and Wales.
125                                              Life tables for single year of age, sex, calendar year,
126  County, Minnesota, and mortality rates from life tables for the general population, we estimated the
127 is study utilised VetCompass data to develop life tables for the UK companion dog population and brok
128                                              Life-tables for contralateral breast cancers, which cons
129               This paper describes the major life table formulae and mortality models used to analyze
130           Using global supply data and 1,879 life tables from 103 countries, we test for these effect
131                      We constructed abridged life tables from age-specific mortality rates and life e
132 pectancy in 2020 was estimated by simulating life tables from estimated age specific mortality rates
133 d to 2006-2019 race-adjusted and -unadjusted life tables from the Centers for Disease Control and Pre
134  of sustaining injury, as identified from US Life Tables from the National Vital Statistics Reports 2
135 f premature death (PPD) were conducted using life tables from the UN World Population Prospects 2024.
136                                              Life tables generated by the current study allow a deepe
137 nic Black Americans when using race-adjusted life tables hides racialized health disparity and perpet
138 ortality was extracted from country-specific life tables in the Human Mortality Database.
139 , while they are closer to those in national life tables in The Netherlands.
140 nosed in 111 patients (9.3% +/- 0.9%, 3-year life-table incidence).
141                                            A life table is a tabulated expression of life expectancy
142 fer and 100% IDDM by 32 days post-transfer), life-table (log-rank) analyses revealed that IDDM can be
143 groups was compared by means of Kaplan-Meier life-tables, log-rank test, and multivariate proportiona
144  a multiple cohort, proportional multistate, life table (Markov) model to estimate the health gains a
145 ent levels of lifestyle factors by using the life table method.
146 d using conditional probability based on the life table method.
147 se and cardiac survival was estimated by the life-table method and compared by the log-rank test.
148 -square analysis; rates were computed by the life-table method and compared using Mantel-Cox log-rank
149 months of follow-up was calculated using the life-table method and was compared across treatment grou
150  at the population level using the synthetic life-table method for DHS surveys.
151 of cardiac death or AMI was estimated by the life-table method.
152      Long-term survival was estimated by the life-table method.
153 culated for the study cohort by the standard life-table method.
154 ll in-hospital deaths) were estimated by the life-table method.
155  Cumulative POF risk was estimated using the life-table method.
156 ive treatments employed before intervention; life-table methodology on an intent-to-treat basis with
157                                        Using life table methods and accounting for competing risks, t
158                           We used multistate life table methods and transition rates estimated from p
159 bserved survival was calculated by actuarial life table methods for three new node-positive subgroups
160 -specific mortality rates is calculated with life table methods that are among the oldest and most fu
161                                      We used life table methods to calculate life expectancy at birth
162                                      We used life table methods to calculate the primary outcome, the
163 this cohort study, mortality estimates using life table methods were calculated with the National Can
164                      We calculated HALE with life table methods, incorporating estimates of average h
165 tion was not significant when analyzed using life table methods.
166 rtality rates for all causes of death, using life table methods.
167 er competing causes of death, using standard life table methods.
168 obability of dying before age 70 years, with life table methods.
169 ) and overall survival (OS) were analyzed by life-table methods according to clinical and biologic fe
170                           We used multistate life-table methods and microsimulation to estimate life
171                    Four UK centres have used life-table methods to analyse the long-term results of c
172                      Application of standard life-table methods to calculate life expectancy by year,
173                                      We used life-table methods to calculate the burden of cancer mor
174               Outcome analysis used standard life-table methods.
175 oronary heart disease) by multiple-decrement life-table methods.
176               Outcome analyses used standard life-table methods.
177  life year" (PALY), we constructed a dynamic life table model for the Australian working-age populati
178 ARTICIPANTS: This economic evaluation used a life table model in combination with a Markov model to c
179 d a multiple-cohort, proportional multistate life table model to estimate the effect of a 20% tax on
180           We used a proportional multi-state life table model to estimate the health impact of prohib
181  We adopt a microsimulation-based multistate life table model to provide estimates of HEs across four
182 a multiple cohort, proportional, multistate, life table model to simulate the effect of mandating eit
183         To measure re-screening by age 45, a life table model was developed.
184  expectancy were assessed using the IOMLIFET life table model.
185                                            A life-table model, projecting age-specific prostate cance
186                                 We also used life table modelling to estimate years-of-life lost attr
187                                      We used life table modelling to translate the mortality rate rat
188                                   Multistate life table models were used to estimate sex-specific hea
189                                   Multistate life table models with covariates age, gender, occupatio
190      For this purpose, an age-stage, two-sex life table of the predator was constructed at four const
191                                              Life tables of female baboons (Papio hamadryas) in two w
192 n be elucidated via several stage-structured life tables of plant populations manipulated by herbivor
193 idated via several methods: stage-structured life tables of plant populations manipulated by herbivor
194 parison, expected survival was obtained from life tables of the population of British Columbia, Canad
195 om the National Center for Health Statistics life tables on the white population in Minnesota, using
196  age- and gender-matched group obtained from life tables (p < 0.0001).
197  contrast, heterozygotes had their fertility life table parameters significantly reduced on Cry1Ac/Cr
198        Hosts and conditions similarly affect life table performance.
199 ectancy and mortality data were derived from life tables, previous studies, and national databases.
200 pregnancy in these women, we used cumulative life-table probabilities and proportional-hazards analys
201 tment-free survival rates were determined by life-table product limit estimates.
202         Survival probabilities from the U.S. life tables providing the most similar survival experien
203        With the use of clinically determined life tables, reductions in radiation-attributable lung c
204                                              Life table regression models were used to identify basel
205 CD2 expression level (> 75% positivity), the life table relative event rate (RER) was 1.22 for patien
206                                    Transient life table response experiment (LTRE) analysis showed th
207 ed bird to quantify transients, and we use a life table response experiment (LTRE) to measure the con
208                                        Using life table response experiment analyses, we compared pop
209                                Retrospective life table response experiment analysis revealed that th
210                       However, retrospective life table response experiment analysis showed that rapi
211 and undisturbed conditions were evaluated as Life Table Response Experiment and showed that C. microp
212                                              Life table response experiments (LTREs) decompose differ
213 raphic theory, we develop a set of transient life table response experiments (LTREs) for decomposing
214 -term population growth rate using transient life table response experiments (LTREs).
215                       We applied a transient Life-Table Response Experiment ('transient-LTRE') to dem
216                                              Life-table response experiments with the crustacean Ceri
217                                              Life tables revealed no statistical difference between t
218                                              Life table statistics and factors affecting population g
219                                              Life-table stroke-free rates at 1, 5, and 8 years were s
220                                              Life tables summarise a population's mortality experienc
221  1981-1984 and followed to age 10 years, via life table survival and Cox multivariate analyses.
222                                              Life-table survival analysis was performed, and proporti
223 ts as input parameters in a relational model life table system.
224  sex, and length of follow-up using modified life table technique and surveillance epidemiology end r
225                                              Life table techniques and the Mlwin 3.05 module for the
226 scipline of classical demography that brings life table techniques, mortality models, experimental sy
227 ops the "Life-Event Table," an analog of the life table that can analyze occurrence of diverse types
228                    We developed a multistate life table to calculate life expectancy for individuals
229 mparing the age at death to the GBD standard life table to calculate remaining life expectancy.
230 int models and used Kaplan-Meier methods and life tables to calculate median survival and age at deat
231 relative survival, constructing 252 complete life tables to control for background mortality by age,
232        We used the Chiang method of abridged life tables to estimate life expectancy at age 20 years
233                We developed synthetic cohort life tables to estimate the cumulative prevalence of con
234  pursue three aims: first, we created period life tables to examine longevity trends in Washington D.
235 d Centers for Disease Control and Prevention Life Tables to project age- and cause-specific mortality
236 "baseline" age-specific hazards in the local life tables to reflect the life expectancy associated wi
237  on weekly death counts by cause, as well as life tables, to quantify excess mortality and life years
238 e expectancy were estimated using multistate life tables under a discrete-time Markov process assumpt
239 cancer than with the census-derived national life tables used by the SEER Program.
240 ctancy at birth by sex and subcity unit with life tables using age-specific mortality rates estimated
241                                              Life tables varied widely between breeds.
242                       However, race-adjusted life tables vastly underestimated total YLL and YLL per
243 ive survivors and the expected survival from life tables was not statistically significant.
244 appropriate race-specific and state-specific life tables was up to 2% lower for breast cancer and up
245                             Furthermore, the life tables we produced are needed to estimate cancer sp
246 nal Health and Career Path Survey and French life tables, we quantified the impact of 4 major work-re
247                              Abridged cohort life tables were constructed to calculate life expectanc
248                      In-trial results and US life tables were used to develop a Markov cohort model t
249 obability of death was calculated from these life tables with 1-year age-specific mortality rates.
250 opulations overall and by sex using abridged life tables with 5-year age intervals.
251  as well as moderate hypothermia (p < .01 by life table), without a significant difference between mi

 
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