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Permanent URI for this collectionhttps://hdl.handle.net/20.500.14288/3

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    Consanguineous marriage and its effect on reproductive behavior and uptake of prenatal screening
    (Wiley) Şahin, Eda; N/A; Paşalak, Şeyma İnciser; Seven, Memnun; PhD Student; Faculty Member; Graduate School of Health Sciences; School of Nursing; 125009; 32470
    The study aimed to determine the prevalence of consanguinity among pregnant women, its effect on reproductive behavior and the uptake of prenatal screening. The sample consisted of 842 pregnant women recruited to a prospective cohort study conducted in twenty-three cities from different regions in Turkey between June 2017 and March 2018. of the women, 17.7% (n = 149) were in consanguineous marriages. The consanguineous couples were younger at the time of their marriages than non-consanguineous couples, and 49% of the consanguineous marriages were arranged. The educational levels of both spouses in consanguineous marriages were lower than those in non-consanguineous marriages. There was a statistically significant difference in the prevalence of the pregnant women having a prenatal screening test between women in consanguineous marriages (53%) and those in non-consanguineous marriages (78.2%). There were no statistically significant differences between the two groups in terms of having health problems during pregnancy, the number of pregnancies, abortions and/or stillbirths, the week of delivery and the birthweight of the baby. Healthcare providers play a key role in eliciting whether or not pregnant couples are consanguineous, providing a tailored risk assessment, education, and counseling about screening and diagnostic tests for early diagnosis and management of the fetus, explaining the testing process and possible outcomes, and helping couples make informed decisions regarding their reproductive options or pregnancy management.
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    Room assignment-rent division: a market approach
    (Springer, 2004) Abdulkadiroğlu, Atila; Department of Economics; Department of Economics; Sönmez, Tayfun; Ünver, Utku; Faculty Member; Faculty Member; Department of Economics; College of Administrative Sciences and Economics; College of Administrative Sciences and Economics; N/A; N/A
    A group of friends consider renting a house but they shall first agree on how to allocate its rooms and share the rent. We propose an auction mechanism for room assignment-rent division problems which mimics the market mechanism. Our auction mechanism is efficient, envy-free, individually-rational and it yields a non-negative price to each room whenever that is possible with envy-freeness.
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    Comparative regression discontinuity: a stress test with small samples
    (Sage, 2018) Cook, Thomas D.; Tang, Yang; Clark, M. H.; Department of Psychology; Sakarya, Yasemin Kisbu; Faculty Member; Department of Psychology; College of Social Sciences and Humanities; 219275
    Compared to the randomized experiment (RE), the regression discontinuity design (RDD) has three main limitations: (I) In expectation, its results are unbiased only at the treatment cutoff and not for the entire study population; (2) it is less efficient than the RE and so requires more cases for the same statistical power; and (3) it requires correctly specifying the functional form that relates the assignment and outcome variables. One way to overcome these limitations might be to add a no-treatment functional form to the basic RDD and including it in the outcome analysis as a comparison function rather than as a covariate to increase power. Doing this creates a comparative regression discontinuity design (CRD). It has three untreated regression lines. Two are in the untreated segment of the RDD-the usual RDD one and the added untreated comparison function- while the third is in the treated RDD segment. Also observed is the treated regression line in the treated segment. Recent studies comparing RE, RDD, and CRD causal estimates have found that CRD reduces imprecision compared to RDD and also produces valid causal estimates at the treatment cutoff and also along all the rest of the assignment variable. The present study seeks to replicate these results, but with considerably smaller sample sizes. The power difference between RDD and CRD is replicated, but not the bias results either at the treatment cutoff or away from it. We conclude that CRD without large samples can be dangerous.