Design and analysis of time-to-pregnancy
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Design and analysis of time-to-pregnancy. / Scheike, Thomas; Keiding, Niels.
In: Statistical Methods in Medical Research, Vol. 15, No. 2, 2006, p. 127-40.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Design and analysis of time-to-pregnancy
AU - Scheike, Thomas
AU - Keiding, Niels
N1 - Keywords: Denmark; Female; Fertility; Humans; Models, Statistical; Pregnancy; Research Design; Sampling Studies; Time Factors
PY - 2006
Y1 - 2006
N2 - Time-to-pregnancy(TTP), the duration that a couple waits from initiating attempts to conceive until conception occurs, is regarded as one of the direct measures of natural fecundity. Statistical tools for designing and analysing TTP studies belong to the general area of survival analysis, but several special features have been developed: it is customary to work in discrete time, and random heterogeneity between couples has always played a prominent role. This review works on this background with focus on how to perform valid analyses, under various prospective, retrospective and cross-sectional sampling frames. We illustrate using examples from our own experience.
AB - Time-to-pregnancy(TTP), the duration that a couple waits from initiating attempts to conceive until conception occurs, is regarded as one of the direct measures of natural fecundity. Statistical tools for designing and analysing TTP studies belong to the general area of survival analysis, but several special features have been developed: it is customary to work in discrete time, and random heterogeneity between couples has always played a prominent role. This review works on this background with focus on how to perform valid analyses, under various prospective, retrospective and cross-sectional sampling frames. We illustrate using examples from our own experience.
M3 - Journal article
C2 - 16615653
VL - 15
SP - 127
EP - 140
JO - Statistical Methods in Medical Research
JF - Statistical Methods in Medical Research
SN - 0962-2802
IS - 2
ER -
ID: 14359752