text: CREATE TABLE #Codesets (
    codeset_id int NOT NULL,
    concept_id bigint NOT NULL
  )
  ;
  
  INSERT INTO #Codesets (codeset_id, concept_id)
  SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
  ( 
    select concept_id from @vocabulary_database_schema.CONCEPT where concept_id in (194702)
  UNION  select c.concept_id
    from @vocabulary_database_schema.CONCEPT c
    join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
    and ca.ancestor_concept_id in (194702)
    and c.invalid_reason is null
  
  ) I
  ) C
  ;
  
  with primary_events (event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id) as
  (
  -- Begin Primary Events
  select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
  FROM
  (
    select E.person_id, E.start_date, E.end_date,
           row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC) ordinal,
           OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
    FROM 
    (
    -- Begin Condition Occurrence Criteria
  SELECT C.person_id, C.condition_occurrence_id as event_id, C.condition_start_date as start_date, COALESCE(C.condition_end_date, DATEADD(day,1,C.condition_start_date)) as end_date,
         C.CONDITION_CONCEPT_ID as TARGET_CONCEPT_ID, C.visit_occurrence_id,
         C.condition_start_date as sort_date
  FROM 
  (
    SELECT co.* , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
    FROM @cdm_database_schema.CONDITION_OCCURRENCE co
    JOIN #Codesets codesets on ((co.condition_concept_id = codesets.concept_id and codesets.codeset_id = 0))
  ) C
  
  WHERE C.ordinal = 1
  -- End Condition Occurrence Criteria
  
    ) E
  	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
    WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
  ) P
  WHERE P.ordinal = 1
  -- End Primary Events
  
  )
  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
  INTO #qualified_events
  FROM 
  (
    select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
    FROM primary_events pe
    
  ) QE
  
  ;
  
  --- Inclusion Rule Inserts
  
  create table #inclusion_events (inclusion_rule_id bigint,
  	person_id bigint,
  	event_id bigint
  );
  
  with cteIncludedEvents(event_id, person_id, start_date, end_date, op_start_date, op_end_date, ordinal) as
  (
    SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
    from
    (
      select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
      from #qualified_events Q
      LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
      GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
    ) MG -- matching groups
  
  )
  select event_id, person_id, start_date, end_date, op_start_date, op_end_date
  into #included_events
  FROM cteIncludedEvents Results
  WHERE Results.ordinal = 1
  ;
  
  
  
  -- generate cohort periods into #final_cohort
  with cohort_ends (event_id, person_id, end_date) as
  (
  	-- cohort exit dates
    -- By default, cohort exit at the event's op end date
  select event_id, person_id, op_end_date as end_date from #included_events
  ),
  first_ends (person_id, start_date, end_date) as
  (
  	select F.person_id, F.start_date, F.end_date
  	FROM (
  	  select I.event_id, I.person_id, I.start_date, E.end_date, row_number() over (partition by I.person_id, I.event_id order by E.end_date) as ordinal 
  	  from #included_events I
  	  join cohort_ends E on I.event_id = E.event_id and I.person_id = E.person_id and E.end_date >= I.start_date
  	) F
  	WHERE F.ordinal = 1
  )
  select person_id, start_date, end_date
  INTO #cohort_rows
  from first_ends;
  
  with cteEndDates (person_id, end_date) AS -- the magic
  (	
  	SELECT
  		person_id
  		, DATEADD(day,-1 * 0, event_date)  as end_date
  	FROM
  	(
  		SELECT
  			person_id
  			, event_date
  			, event_type
  			, MAX(start_ordinal) OVER (PARTITION BY person_id ORDER BY event_date, event_type ROWS UNBOUNDED PRECEDING) AS start_ordinal 
  			, ROW_NUMBER() OVER (PARTITION BY person_id ORDER BY event_date, event_type) AS overall_ord
  		FROM
  		(
  			SELECT
  				person_id
  				, start_date AS event_date
  				, -1 AS event_type
  				, ROW_NUMBER() OVER (PARTITION BY person_id ORDER BY start_date) AS start_ordinal
  			FROM #cohort_rows
  		
  			UNION ALL
  		
  
  			SELECT
  				person_id
  				, DATEADD(day,0,end_date) as end_date
  				, 1 AS event_type
  				, NULL
  			FROM #cohort_rows
  		) RAWDATA
  	) e
  	WHERE (2 * e.start_ordinal) - e.overall_ord = 0
  ),
  cteEnds (person_id, start_date, end_date) AS
  (
  	SELECT
  		 c.person_id
  		, c.start_date
  		, MIN(e.end_date) AS end_date
  	FROM #cohort_rows c
  	JOIN cteEndDates e ON c.person_id = e.person_id AND e.end_date >= c.start_date
  	GROUP BY c.person_id, c.start_date
  )
  select person_id, min(start_date) as start_date, end_date
  into #final_cohort
  from cteEnds
  group by person_id, end_date
  ;
  
  DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
  INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
  select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
  FROM #final_cohort CO
  ;
  
  
  -- Find the event that is the 'best match' per person.  
  -- the 'best match' is defined as the event that satisfies the most inclusion rules.
  -- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
  
  select q.person_id, q.event_id
  into #best_events
  from #qualified_events Q
  join (
  	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
  	FROM (
  		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
  		FROM #qualified_events Q
  		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
  		GROUP BY Q.person_id, Q.event_id, Q.start_date
  	) R
  ) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
  WHERE ranked.rank_value = 1
  ;
  
  -- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
  -- 0: all events
  -- 1: best event
  
  
  -- BEGIN: Inclusion Impact Analysis - event
  -- calculte matching group counts
  delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
  insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
  select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
  from
  (
    select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
    from #qualified_events Q
    LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
    GROUP BY Q.person_id, Q.event_id
  ) MG -- matching groups
  group by inclusion_rule_mask
  ;
  
  -- calculate gain counts 
  delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
  insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
  select ir.cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
  from @results_database_schema.cohort_inclusion ir
  left join
  (
    select i.inclusion_rule_id, count_big(i.event_id) as person_count
    from #qualified_events Q
    JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
    group by i.inclusion_rule_id
  ) T on ir.rule_sequence = T.inclusion_rule_id
  CROSS JOIN (select count(*) as total_rules from @results_database_schema.cohort_inclusion where cohort_definition_id = @target_cohort_id) RuleTotal
  CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
  LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
  WHERE ir.cohort_definition_id = @target_cohort_id
  ;
  
  -- calculate totals
  delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
  insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
  select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
  FROM
  (select count_big(event_id) as total from #qualified_events) PC,
  (select sum(sr.person_count) as total
    from @results_database_schema.cohort_inclusion_result sr
    CROSS JOIN (select count(*) as total_rules from @results_database_schema.cohort_inclusion where cohort_definition_id = @target_cohort_id) RuleTotal
    where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
  ) FC
  ;
  
  -- END: Inclusion Impact Analysis - event
  
  -- BEGIN: Inclusion Impact Analysis - person
  -- calculte matching group counts
  delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
  insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
  select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
  from
  (
    select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
    from #best_events Q
    LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
    GROUP BY Q.person_id, Q.event_id
  ) MG -- matching groups
  group by inclusion_rule_mask
  ;
  
  -- calculate gain counts 
  delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
  insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
  select ir.cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
  from @results_database_schema.cohort_inclusion ir
  left join
  (
    select i.inclusion_rule_id, count_big(i.event_id) as person_count
    from #best_events Q
    JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
    group by i.inclusion_rule_id
  ) T on ir.rule_sequence = T.inclusion_rule_id
  CROSS JOIN (select count(*) as total_rules from @results_database_schema.cohort_inclusion where cohort_definition_id = @target_cohort_id) RuleTotal
  CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
  LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
  WHERE ir.cohort_definition_id = @target_cohort_id
  ;
  
  -- calculate totals
  delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
  insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
  select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
  FROM
  (select count_big(event_id) as total from #best_events) PC,
  (select sum(sr.person_count) as total
    from @results_database_schema.cohort_inclusion_result sr
    CROSS JOIN (select count(*) as total_rules from @results_database_schema.cohort_inclusion where cohort_definition_id = @target_cohort_id) RuleTotal
    where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
  ) FC
  ;
  
  -- END: Inclusion Impact Analysis - person
  
  -- BEGIN: Censored Stats
  
  -- END: Censored Stats
  
  TRUNCATE TABLE #best_events;
  DROP TABLE #best_events;
  
  
  
  
  
  TRUNCATE TABLE #cohort_rows;
  DROP TABLE #cohort_rows;
  
  TRUNCATE TABLE #final_cohort;
  DROP TABLE #final_cohort;
  
  TRUNCATE TABLE #inclusion_events;
  DROP TABLE #inclusion_events;
  
  TRUNCATE TABLE #qualified_events;
  DROP TABLE #qualified_events;
  
  TRUNCATE TABLE #included_events;
  DROP TABLE #included_events;
  
  TRUNCATE TABLE #Codesets;
  DROP TABLE #Codesets;
  