The reliability, acceptability and applications of basal body temperature (BBT) records in the diagnosis and treatment of infertility

Martínez, Antonio; Hooff, M.H.A. van; Schoute, E.; Meer, Maartje van der; Broekmans, Frank J.; Hompes, Peter G.A.

doi:10.1016/0028-2243(92)90041-v

Cited by 34 publications

(31 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is significantly burdensome for many women (8). Commercially available thermometers are able to track BBT electronically and then predict, based on past patterns, the most fertile points in a cycle.…”

Section: Basal Body Temperaturementioning

confidence: 99%

At home testing: optimizing management for the infertility physician

Brezina

Haberl

Wallach

2011

Fertility and Sterility

View full text Add to dashboard Cite

Section: Basal Body Temperaturementioning

confidence: 99%

At home testing: optimizing management for the infertility physician

Brezina

Haberl

Wallach

2011

Fertility and Sterility

View full text Add to dashboard Cite

“…After ovulation, temperature then rises to a higher threshold during the luteal phase of the cycle. A bi-phasic temperature curve has been used as a clinical indicator of ovulation (Martinez et al, 1992), while the rise in temperature at the time of ovulation marks the end of the fertile interval. To better understand reproductive functioning and causes of infertility, it is interesting to estimate a distribution of temperature curves among women.…”

Section: Introductionmentioning

confidence: 99%

Enriched Stick-Breaking Processes for Functional Data

Scarpa¹,

Dunson²

2014

Journal of the American Statistical Association

View full text Add to dashboard Cite

In many applications involving functional data, prior information is available about the proportion of curves having different attributes. It is not straightforward to include such information in existing procedures for functional data analysis. Generalizing the functional Dirichlet process (FDP), we propose a class of stick-breaking priors for distributions of functions. These priors incorporate functional atoms drawn from constrained stochastic processes. The stick-breaking weights are specified to allow user-specified prior probabilities for curve attributes, with hyperpriors accommodating uncertainty. Compared with the FDP, the random distribution is enriched for curves having attributes known to be common. Theoretical properties are considered, methods are developed for posterior computation, and the approach is illustrated using data on temperature curves in menstrual cycles.

show abstract

“…Second, additional supervised training appears advisable, as vaginal secretions, uterine retroversion, or cervical lacerations may have confused initial observations in some volunteers. Third, we did not attempt to determine prospectively the time of ovulation but used the BBT to define retrospectively the periovulatory period (10). Finally, self-examination of the cervix using the Femiscope caused some discomfort in a substantial number of volunteers, indicating that additional modifications are required before it could be used routinely for self-assessment purposes.…”

mentioning

confidence: 99%