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Stata Syntax - 4.8 KB -
MD5: 0408e676770067c497f9782feeb537d6
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Stata Syntax - 8.1 KB -
MD5: db579c0c52b532e2eaf3f081482c1608
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Tabular Data - 237.0 KB - 11 Variables, 3018 Observations - UNF:6:dy1mI0Rc9STRHMjv3663tQ==
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Stata Syntax - 4.0 KB -
MD5: a5371c9c9f44fe8525c671f15d64a87e
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Tabular Data - 137.0 KB - 5 Variables, 4747 Observations - UNF:6:C1NSKEVBEfBTxhbn/9SsYg==
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MS Excel Spreadsheet - 19.0 KB -
MD5: e4a9391f9813fb4a0b308ae8a36ab304
Contains variable descriptions and value labels |
Plain Text - 4.3 KB -
MD5: 951cd86da7cde491c998337a445b3555
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Unknown - 8.0 KB -
MD5: 99a4727083ebf1686250e58ccbfb40c0
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Tabular Data - 448.0 KB - 26 Variables, 3062 Observations - UNF:6:3M7yOmZCphXfF0VTogQH2A==
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Jul 5, 2021
Watson, James A.; Maitland, Kathryn; Williams, Thomas N.; White, Nicholas J., 2021, "Replication Data for: Improving statistical power in severe malaria genetic association studies by augmenting phenotypic precision", https://doi.org/10.7910/DVN/TH8WAW, Harvard Dataverse, V1, UNF:6:mwwyTYMcojPhaZDP4PlXAA== [fileUNF]
This is a replication dataset for the manuscript titled: "Improving statistical power in severe malaria genetic association studies by augmenting phenotypic precision." This dataset contains complete blood count data (platelet counts and total white blood cell counts) for severely ill patients enrolled in either studies of severe malaria or general... |