Impact of subgroup analysis on estimates of infertility.
Conclusions regarding estimates of infertility may reflect study bias based on the definition of infertility used. Careful consideration of how the infertile population is defined, as well its use in subgroup analysis that may not be generalizable to the population of infertile women as a whole, is needed.
Thornton
Kim L
KL
Divison of Reproductive Endocrinology and Infertility, Department of Obstetrics, Gynecology and Reproductive Biology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts 02215, USA. kim.thornton@bostonivf.com
Goldman
Marlene B
MB
D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D015982:Bias; D015984:Causality; D003627:Data Interpretation, Statistical; D004522:Educational Status; D004812:Epidemiologic Methods; D005260:Female; D006801:Humans; D007247:Infertility, Female / Q000453:epidemiology* / Q000628:therapy*; D017533:Marital Status / Q000706:statistics & numerical data; D011159:Population Surveillance / Q000379:methods*; D015995:Prevalence; D027724:Reproductive Techniques, Assisted / Q000706:statistics & numerical data*; D018570:Risk Assessment / Q000379:methods*; D012307:Risk Factors; D014481:United States / Q000453:epidemiology