Data intelligence · automation · analyticsA Praxis Global Institute platform
Praxis Data Lab

Praxis Data Lab · Study Builder

Build your NHANES study with harmonization intelligence.

Combine variables from the indexed Continuous NHANES catalog, choose the cycles you need, and see how Praxis connects source history, methods, cycle boundaries, and cross-code lineage into a study-specific harmonization view.

2variables selected
Praxis harmonization guidance available

Praxis found harmonization conditions for this study and has surfaced them below with the supporting source evidence.

2 variable assessments

AAXFLTYP
Evidence developinglow confidence

Laboratory

Type of Floor Covering

Source releases
1
Available cycles
2005-2006
Dataset
Allergens - Household Dust

No normalized longitudinal change evidence is available for this variable. Absence of events must not be interpreted as proof of cross-cycle equivalence.

Evidence provenance: Praxis automated inference from indexed CDC/NCHS evidence

Remove from studyVariable historyCDC source
DBQ095
Compatible with harmonizationmoderate confidence

Questionnaire

What type of slat {do you/does SP} usually add to {your/his/her/SP's} food at the table

Source releases
2
Available cycles
1999-2000 · 2001-2002
Dataset
Diet Behavior & Nutrition

No blocking method discontinuity is identified inside the selected cycle span, but one or more longitudinal changes require explicit harmonization conditions before pooling.

Evidence provenance: Praxis automated inference from indexed CDC/NCHS evidence

Evidence signals: automated-difference · source-derived

Relevant boundaries: 1999-2000 → 2001-2002

Praxis harmonization actions
  • Confirm that the construct and coding are unchanged before pooling or recoding.
  • Apply cycle-specific eligibility rules and restrict the pooled analytic population to a defensible common target population.
  • Verify merge grain, companion variables, and component-specific analytic guidance for the new file context.
  • Select the weight appropriate to each cycle and subsample; when pooling cycles, construct the combined weight according to NHANES guidance rather than reusing a single-cycle weight unchanged.
Supporting CDC/NCHS evidence
Remove from studyVariable historyCDC source