Ritoban Kundu
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Explore the profile of Ritoban Kundu including associated specialties, affiliations and a list of published articles.
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14
Citations
82
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Recent Articles
1.
Salvatore M, Kundu R, Du J, Friese C, Mondul A, Hanauer D, et al.
medRxiv
. 2024 Nov;
PMID: 39574876
Electronic health records (EHRs) are valuable for public health and clinical research but are prone to many sources of bias, including missing data and non-probability selection. Missing data in EHRs...
2.
Kundu R, Shi X, Morrison J, Barrett J, Mukherjee B
J R Stat Soc Ser A Stat Soc
. 2024 Sep;
187(3):606-635.
PMID: 39281782
Using administrative patient-care data such as Electronic Health Records (EHR) and medical/pharmaceutical claims for population-based scientific research has become increasingly common. With vast sample sizes leading to very small standard...
3.
Salvatore M, Kundu R, Shi X, Friese C, Lee S, Fritsche L, et al.
J Am Med Inform Assoc
. 2024 May;
31(7):1479-1492.
PMID: 38742457
Objectives: To develop recommendations regarding the use of weights to reduce selection bias for commonly performed analyses using electronic health record (EHR)-linked biobank data. Materials And Methods: We mapped diagnosis...
4.
To weight or not to weight? Studying the effect of selection bias in three large EHR-linked biobanks
Salvatore M, Kundu R, Shi X, Friese C, Lee S, Fritsche L, et al.
medRxiv
. 2024 Feb;
PMID: 38405832
Objective: To explore the role of selection bias adjustment by weighting electronic health record (EHR)-linked biobank data for commonly performed analyses. Materials And Methods: We mapped diagnosis (ICD code) data...
5.
Kundu R, Datta J, Ray D, Mishra S, Bhattacharyya R, Zimmermann L, et al.
PLOS Glob Public Health
. 2023 Dec;
3(12):e0002063.
PMID: 38150465
There has been raging discussion and debate around the quality of COVID death data in South Asia. According to WHO, of the 5.5 million reported COVID-19 deaths from 2020-2021, 0.57...
6.
Fritsche L, Nam K, Du J, Kundu R, Salvatore M, Shi X, et al.
PLoS Genet
. 2023 Dec;
19(12):e1010907.
PMID: 38113267
Objective: To overcome the limitations associated with the collection and curation of COVID-19 outcome data in biobanks, this study proposes the use of polygenic risk scores (PRS) as reliable proxies...
7.
Salvatore M, Purkayastha S, Ganapathi L, Bhattacharyya R, Kundu R, Zimmermann L, et al.
Sci Adv
. 2022 Jun;
8(24):eabp8621.
PMID: 35714183
India experienced a massive surge in SARS-CoV-2 infections and deaths during April to June 2021 despite having controlled the epidemic relatively well during 2020. Using counterfactual predictions from epidemiological disease...
8.
Bhaduri R, Kundu R, Purkayastha S, Kleinsasser M, Beesley L, Mukherjee B, et al.
Stat Med
. 2022 Feb;
41(13):2317-2337.
PMID: 35224743
False negative rates of severe acute respiratory coronavirus 2 diagnostic tests, together with selection bias due to prioritized testing can result in inaccurate modeling of COVID-19 transmission dynamics based on...
9.
Bhattacharyya R, Kundu R, Bhaduri R, Ray D, Beesley L, Salvatore M, et al.
Sci Rep
. 2021 Aug;
11(1):17221.
PMID: 34417536
No abstract available.
10.
Purkayastha S, Kundu R, Bhaduri R, Barker D, Kleinsasser M, Ray D, et al.
BMC Res Notes
. 2021 Jul;
14(1):262.
PMID: 34238344
Objective: There has been much discussion and debate around the underreporting of COVID-19 infections and deaths in India. In this short report we first estimate the underreporting factor for infections...