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@ -636,7 +636,8 @@ Compute age using year_of_birth.
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For data sources with date of birth, the year should be extracted. For
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data sources where the year of birth is not available, the approximate
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year of birth could be derived based on age group categorization, if
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available.
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available. If no year of birth is available all the person’s data should
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be dropped from the CDM instance.
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</td>
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<td style="text-align:left;">
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integer
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@ -10579,6 +10580,8 @@ No
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drug_exposure_count
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</td>
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<td style="text-align:left;">
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The count of grouped DRUG_EXPOSURE records that were included in the
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DRUG_ERA row
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</td>
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<td style="text-align:left;">
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</td>
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@ -744,7 +744,8 @@ Compute age using year_of_birth.
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For data sources with date of birth, the year should be extracted. For
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data sources where the year of birth is not available, the approximate
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year of birth could be derived based on age group categorization, if
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available.
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available. If no year of birth is available all the person’s data should
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be dropped from the CDM instance.
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</td>
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<td style="text-align:left;">
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integer
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@ -11288,6 +11289,8 @@ No
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drug_exposure_count
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</td>
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<td style="text-align:left;">
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The count of grouped DRUG_EXPOSURE records that were included in the
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DRUG_ERA row
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</td>
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<td style="text-align:left;">
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</td>
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@ -688,7 +688,8 @@ Compute age using year_of_birth.
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For data sources with date of birth, the year should be extracted. For
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data sources where the year of birth is not available, the approximate
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year of birth could be derived based on age group categorization, if
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available.
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available. If no year of birth is available all the person’s data should
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be dropped from the CDM instance.
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</td>
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<td style="text-align:left;">
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integer
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@ -11596,6 +11597,8 @@ No
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drug_exposure_count
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</td>
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<td style="text-align:left;">
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The count of grouped DRUG_EXPOSURE records that were included in the
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DRUG_ERA row.
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</td>
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<td style="text-align:left;">
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</td>
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