Vidhura S Tennekoon
Biographic Data
| ID | 9067430 |
|---|---|
| NAME | Vidhura S Tennekoon |
| GIVEN NAMES | Vidhura S |
| FAMILY NAME | Tennekoon |
| SIGNATURE | TENNEKOON V S |
| AFFILIATIONS | Indiana University – Purdue University Indianapolis |
| ORCID | 0000-0002-3212-4644 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 5 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
The impact of IOM recommendations on gestational weight gain among US women
The prevailing guidelines of the Institute of Medicine (IOM) of United States on gestational weight gain (GWG) are based on women’s prepregnancy body mass index (BMI) categories. Previous research has shown that the guidelines issued in 1990 and revised in 2009 had no effect. We investigate the effectiveness of new guidelines issued in 2009 analyzing the records of all singleton births in the U.S. during 2011–2019 (34.0 million observations). We …
Counting unreported abortions
Self-reported counts of intentional abortions in demographic surveys are significantly lower than the actual counts. To estimate the extent of misreporting, previous research has required either a gold standard or a validation sample. However, in most case
Measuring bias in self-reported data
Response bias shows up in many fields of behavioural and healthcare research where self-reported data are used. We demonstrate how to use stochastic frontier estimation (SFE) to identify response bias and its covariates. In our application to a family intervention, we examine the effects of participant demographics on response bias before and after participation; gender and race/ethnicity are related to magnitude of bias and to changes in bias ac…
Counting unreported abortions
Self-reported counts of intentional abortions in demographic surveys are significantly lower than the actual counts. To estimate the extent of misreporting, previous research has required either a gold standard or a validation sample. However, in most case
Measuring bias in self-reported data
Response bias shows up in many fields of behavioural and healthcare research where self-reported data are used. We demonstrate how to use stochastic frontier estimation (SFE) to identify response bias and its covariates. In our application to a family intervention, we examine the effects of participant demographics on response bias before and after participation; gender and race/ethnicity are related to magnitude of bias and to changes in bias ac…
Counting unreported abortions
Self-reported counts of intentional abortions in demographic surveys are significantly lower than the actual counts. To estimate the extent of misreporting, previous research has required either a gold standard or a validation sample. However, in most case
The impact of IOM recommendations on gestational weight gain among US women
The prevailing guidelines of the Institute of Medicine (IOM) of United States on gestational weight gain (GWG) are based on women’s prepregnancy body mass index (BMI) categories. Previous research has shown that the guidelines issued in 1990 and revised in 2009 had no effect. We investigate the effectiveness of new guidelines issued in 2009 analyzing the records of all singleton births in the U.S. during 2011–2019 (34.0 million observations). We …
Demography (3 works) · Econometrics (2 works) · Mathematics (2 works) · Population (2 works) · Statistics (2 works) · Advanced Causal Inference Techniques (1 work) · Binomial distribution (1 work) · Birth, Development, and Health (1 work) · Body mass index (1 work) · Body weight (1 work)