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        "Time",
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      "table": true,
      "tojson": true
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      "title": "SensIAT Example Data",
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        "Visit",
        "Time",
        "Outcome",
        "Treatment_group"
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      "tojson": true
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      "title": "Plot for Estimated Treatment Effect for 'SensIAT_fulldata_jackknife_results' Objects",
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      "topics": [
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      "page": "autoplot.SensIAT_within_group_model",
      "title": "Plot a 'SensIAT_within_group_model' Object",
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      "page": "autoplot.SensIAT_withingroup_bootstrap_results",
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      ]
    },
    {
      "page": "autoplot.SensIAT_withingroup_jackknife_results",
      "title": "Plot Estimates at Given Times for 'SensIAT_withingroup_jackknife_results' Objects",
      "topics": [
        "autoplot.SensIAT_withingroup_jackknife_results"
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      "page": "benchmark_term2_methods",
      "title": "Benchmark Term2 Integration Methods",
      "topics": [
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      "title": "Compute Influence Terms",
      "topics": [
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        "compute_influence_terms.glm",
        "compute_influence_terms.SensIAT::Single-index-outcome-model"
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      "topics": [
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        "compute_SensIAT_expected_values.glm",
        "compute_SensIAT_expected_values.lm",
        "compute_SensIAT_expected_values.negbin"
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      "title": "Fit SensIAT Marginal Mean Model (Unified)",
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      "page": "fit_SensIAT_within_group_model",
      "title": "Produce fitted model for group (treatment or control)",
      "topics": [
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        "fit_SensIAT_within_group_model"
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    },
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      "page": "fit_SensIAT_marginal_mean_model",
      "title": "Fit the Marginal Means Model",
      "topics": [
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    },
    {
      "page": "fit_SensIAT_marginal_mean_model_generalized",
      "title": "Fit the marginal mean model for generalize outcomes.",
      "topics": [
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    },
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      "page": "fit_SensIAT_single_index_fixed_coef_model",
      "title": "Outcome Modeler for 'SensIAT' Single Index Model.",
      "topics": [
        "fit_SensIAT_single_index_fixed_bandwidth_model",
        "fit_SensIAT_single_index_fixed_coef_model"
      ]
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    {
      "page": "fit_SensIAT_single_index_norm1coef_model",
      "title": "Single Index Model using 'MAVE' and Optimizing Bandwidth.",
      "topics": [
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      "page": "get_bootstrap_coeffs",
      "title": "Get coefficients for bootstrap simulation.",
      "topics": [
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      "page": "jackknife",
      "title": "Perform Jackknife Resampling on an Object",
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        "jackknife.SensIAT_fulldata_model",
        "jackknife.SensIAT_within_group_model"
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      "page": "make_parametric_intensity_simulator",
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      "title": "Build a parametric outcome simulator from a fitted single-index outcome model using sampled coefficients for the single-index projection.",
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      "title": "Parametric bootstrap orchestration *[Experimental]*",
      "topics": [
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      "title": "Parametric bootstrap for a within-group SensIAT model *[Experimental]*",
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      "title": "Give the Marginal Mean Estimate and its Estimated Asymptotic Variance",
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      "title": "Sample parametric coefficients from a fitted model using asymptotic multivariate normal distribution.",
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      "title": "Simulate Treatment and Control Groups",
      "topics": [
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